Submit manuscript...
MOJ
eISSN: 2379-6383

Public Health

Research Article Volume 11 Issue 2

The scenario of healthcare sector during covid-19 pandemic in Bangladesh: service perspectives

Md Rukon Miah,1 Shaidaton Nisha,2 Md Shaheeduzzaman ,3 Rony Shikder,4 Md Nahian Rahman5

1MBA, Department of Marketing, Comilla University, Bangladesh
2Msc, Institute of Nutrition and Food Science, University of Dhaka, Bangladesh
3BBA, Department of Marketing, Comilla University, Bangladesh
4MBA, Department of Marketing, Comilla University, Bangladesh
5Msc, Institute of Nutrition and Food Science, University of Dhaka, Bangladesh

Correspondence: Md. Rukon Miah, MBA, Department of Marketing, Comilla University, Cumilla, Bangladesh, Tel +8801580805495

Received: July 12, 2022 | Published: August 1, 2022

Citation: Miah R, Nisha S, Shaheeduzzaman. The scenario of healthcare sector during covid-19 pandemic in Bangladesh: service perspectives. MOJ Public Health. 2022;11(2):116-120. DOI: 10.15406/mojph.2022.11.00386

Download PDF

Abstract

The study investigated the scenario of the healthcare sector during the COVID-19 pandemic. A survey questionnaire was developed to collect 203 respondents. A five-rating Likert Scale and open-ended questions were applied to collect data from respondents. A non-probability convenience type sampling technique was applied to collect respondents’ opinions about COVID-19 effects on healthcare. Due to the coronavirus pandemic, people maintain lockdown, isolation, and social distance for their health concerns. By maintaining lockdown, people lose their jobs, which create a negative impact on their income and expense capabilities. During pandemic periods, patients were less likely to visit hospitals for their treatment. Patients are preferring home treatment due to the corona pandemic. Patients are taking telehealthcare services because of fear of infection by the coronavirus. The research paper provides applied guidelines for patients, doctors, nurses, and pharmacy technicians to adjust to the current pandemic situation and any future pandemic situations. The findings of this study influenced doctors to provide telehealthcare services to patients. The research paper is one of the first in Bangladesh that has been supported by an intact research area, providing pragmatic proof regarding the belongings of the scenario of the healthcare sector during the COVID-19 pandemic.

Keywords:Bangladesh, corona pandemic, lockdown, telehealth, home treatment, paired samples t-test

Introduction

Novel coronavirus has resulted in an embodied palliation in financial performance types all over the world. The first patient of COVID-19 was indicted in December in Wuhan, China, and the rapid coronavirus spread around the globe.1 The World Health Organization (WHO) pronounced that coronavirus is a pandemic. This pandemic situation has caused voluminous lockdowns in all forms of economic activity and stopped the education of people who are infected with coronavirus as well as different forms of the disease.2 There are two reasons why the situation in Bangladesh is critical. The first reason is that the exact number of coronavirus infected patients is still unclear for the reason that it is very low in Bangladesh. The second reason is that ICU facilities are highly inefficient for coronavirus infected patients. Dhaka city has the maximum number of ICU beds at 79. Patients nowadays take online-based suggestions and treatment for their safety and security.3

A new coronavirus (COVID-19) alters consumer behavior in the services sector. Patients', tourists', and passengers' behavior changes because of the corona pandemic. People maintain social distance, lockdown, home quarantine, fear of coronavirus-infected people, safety and security, mental pressures, government rules and regulations, and health concerns have changed the behavior of the consumer. These variables change the consumer's income, expenses, participating in class, visiting hospitals and tourism spots, participating in various online courses, and using mask and telehealth services.

The patient’s behavior has changed during the corona pandemic. Patients take telehealthcare services from home due to the corona pandemic. Due to the coronavirus pandemic, patients are adopting social distancing practices, specifically recommending that health care facilities and providers offer clinical services through virtual means such as telehealth.4 The patients are now used to taking preventive measures or home treatment.5 This paper might help the medical authorities, physicians, doctors, and nurses to understand changing consumer behavior due to the coronavirus pandemic. During the COVID-19 pandemic and after the Corona pandemic, doctors should use telemedicine services for their patients.

The main objective of this research paper is to measure the scenario of healthcare sector during COVID-19 pandemic in Bangladesh. The specific objectives are to identify the shifts in patient behavior due to the corona pandemic and find out the changes in patients' behavior (income, expense, visiting, telehealth, home treatment) in pre and during the corona pandemic.

There are given the following research hypotheses:

  • H1: There is change in respondents' income in the context of the corona pandemic.
  • H2: There is change in the respondent’s budget for healthcare in the context of the corona pandemic.
  • H3: The proportion of respondents visiting hospitals has changed in the context of the corona pandemic.
  • H4: There is change in respondents' telehealth in the context of the corona pandemic
  • H5: There is change in respondents' home treatment in the context of the corona pandemic.

Research methodology

Research Area

The study was conducted in Dhaka and the Chattogram Division in Bangladesh.

Research design and sample size

The research design was applied when the collection of data and analysis of data processed by combining them were used in the research.6 This study was carried out based on quantitative data, and the researchers used a self-administration questionnaire, also called an open-ended questionnaire, to analyze the scenario of the healthcare sector during the COVID-19 pandemic.

Methods of research data collection

The research paper applied primary and secondary data to prepare the study and make it more presentable. Primary data was collected via a survey and developed questionnaire. Business market research might use a questionnaire technique to collect consumer and customer opinion.7 Primary data was collected through questionnaires from patients, doctors, nurses, students, service holders, and so on. This research paper also used secondary data that was collected from articles, books, and newspapers.

Method of sampling

Sampling Unit: Population with similar attitudes and behavior toward a thing as the entire population.8 These people used social media and their age was above 15 years old. They are considered the population of this study.

Sampling Technique: In this study, convenience sampling techniques and non-probability sampling methods were used to select respondents for the study. The researcher collected data by distributing the questionnaire through Google Form Link and sharing this link with different convenient people.

Sample Size: The sample (N = 203) was collected from the Dhaka and Chattogram divisions among eight divisions of Bangladesh.

Measurement scale

The study used the Nominal Scale, Ordinal Scale, Likert Scale (5 ratings), and open-ended questions. The nominal scale and ordinal scale are used for demographics like age, gender, occupation, and so on. The Likert Scale is used for respondents' individual opinions about the scenario of the healthcare sector during the COVID-19 pandemic. Open-ended questions about known customers' opinions about buying behavior before and during the corona pandemic.

Data quality assurance 

Enumerators and supervisors learned about this study objective, data collection technique, questionnaire, and scale. On a daily basis, the data is gathered correctly by supervisors and the data extensiveness and reliability are tested before input to SPSS version 23 for more treatment as well as analysis.

Results and findings

Respondent’s demographic characteristics

Among these, 65% of respondents were men and 35% of respondents were women in this study. Married respondents comprised 32.5% of the sample, while unmarried respondents comprised 67.5%. Among these, age groups 26 to 30 and 36 to 40 were respondents, 38% and 18%, respectively. Among these, 9%, 8%, 18%, 24%, 33%, and 8% of respondents were from SSC, HSC, Under-graduate, Graduate, Post-graduate, and PhD respectively. Among 203 respondents, 24%, 20%, 12%, 21%, 14%, and 19% of respondents were students, teachers, nurses, service holders, unemployed, and others, respectively (Table 1).

Gender

Frequency

Percent

Men

132

65

Women

71

35

Marital Status

Frequency

Percent

Married

66

32.5

Unmarried

137

67.5

Age

Frequency

 Percent

15 to 20

19

9

21 to25

29

14

26 to 30

76

38

31 to 35

19

9

36 to 40

36

18

41 to up

24

12

Educational Qualification

Frequency

Percent

Secondary School Certificate (SSC)    

17

9

Higher Secondary Certificate (HSC)

16

8

Under Graduate

27

18

Graduate

49

24

Post-Graduate

67

33

PhD

17

8

Occupation

Frequency

Percent

Student

50

24

Teacher

40

20

Nurse

24

12

Services Holder

42

21

Unemployed

28

14

Others

19

19

Total

203

100

Table 1 The demographic characteristics of the respondents
Source: Software output

Descriptive statistics analysis

The healthcare sector is affected by the corona pandemic. Among these, 58.6% and 21.2% of respondents agree and strongly agree that consumer medicine demands are increasing due to the corona pandemic. COVID-19 increases health awareness among consumers; this statement 57.1% and 27.6% of respondents agree and strongly agree, respectively, and 64.5% agree that consumers are less trusting of private hospitals for their faulty activities.68.5% and 19.2% of respondents agree and strongly agree that patients prefer home treatment during the corona pandemic (Table 2). 

S,L

Item

F&P

SD    

D    

N    

A    

SA    

Total    

Mean    

1

The demand for medicine

Frequency    

13

14

14

119

43

203

Percent

6.4

6.9

6.9

58.6

21.2

100

3.8128

2

COVID-19 increases health awareness among people

Frequency

4

4

23

116

56

203

Percent

2

2

11.3

57.1

27.6

100

4.064

3

Online medication is getting popular nowadays

Frequency

8

22

16

126

22

150

Percent

3.9

10.8

7.9

62.1

15.3

100

3.7389

4

Private hospital nowadays less reliable faulty activities

Frequency

1

11

36

131

24

203

Percent

0.5

5.4

17.7

64.5

11.8

100

3.8177

5

People avoid visiting the hospital

Frequency

3

16

21

119

44

203

Percent

1.5

7.9

10.3

58.6

21.7

100

3.9113

6

Rarely go to the hospital for financial problem

Frequency

7

21

51

103

21

203

Percent

3.4

10.3

25.1

50.7

10.3

100

3.5419

7

Home treatment

Frequency

12

10

3

139

39

203

Percent

5.9

4.9

1.5

68.5

19.2

100

3.9015

8

Increased people expenditure on medication

Frequency

3

18

27

117

38

203

Percent

1.5

8.9

13.3

57.6

18.7

100

3.8325

9

Doctor and nurse are avoiding corona virus-infected patient    

Frequency

13

22

27

88

53

203

Percent

6.4

10.8

13.3

43.3

26.1

100

3.7192

Table 2 Descriptive statistics analysis
Source: Software output

Paired sample T-Test

The dependent t-test, also called the paired sample t-test in SPSS Statistics, compares the mean between two related groups on the same continuous, dependent variable. There are four assumptions about the paired sample t-test. Assumption-1: A continuous scale is used for measuring the dependent variable, Assumption-2: An independent variable must be composed of two connected categories. Assumption 3: The deviation between two related groups should not vary significantly. Assumption-4: The difference between two connected categories of the dependent variable is approximately normally distributed.

The above table (Table 3) specifies that the COVID-19 impact on the healthcare sector compares between before the corona pandemic and during the corona pandemic. To test the hypothesis that consumer income means before the Corona pandemic (M = 18960) and during the Corona pandemic (M = 10581), t (202) = 5.243, r = (.697) and the significant level p-value is less than (.05). So, the null hypothesis is rejected and the alternative hypothesis (H1) is accepted. Consumer monthly healthcare budgets before and during the Corona pandemic (M = 936.90 and M = 1283.3), t(202) =-5.042, and the significant level p = (.000) is less than the significant level (.05). So, the null hypothesis is rejected and the alternative hypothesis (H2) is accepted. The mean value of patients' visits to hospitals before the corona pandemic (M = 2.4581) and during the corona pandemic (M = 2.1232), correlation r =.539, and the p-value (.110) is more than the significant level (.05). So, the null hypothesis is not rejected and the alternative hypothesis (H3) is not accepted. Patients' visits to hospitals increased during the corona pandemic. The mean value of patients' use of telehealth before the corona pandemic (M = 1.7389) and during the corona pandemic (M = 3.9064), correlation r =.455, and the p-value (.000) is more than the significant level (.05). So, the null hypothesis is rejected and the alternative hypothesis (H4) is accepted. The mean value of patients' take home treatment before the corona pandemic (M = 3.1182) and during the corona pandemic (M = 9.4729), the correlation r =.299, and the p-value (.000) is more than the significant level (.05). So, the null hypothesis is rejected and the alternative hypothesis (H5) is accepted.

Item

Before Corona Pandemic    

During Corona Pandemic    

Mean Difference    

Standard Deviation    

Correlation (r)

t

Sig. (2-tailed)

Mean

Mean

Monthly income

18960

10581

8379

22768

0.697

5.243

0

Monthly budget for healthcare

936.9

1283.3

-346.4

978.78

0.792

-5.042

0

Visit hospital

2.4581

2.1232

0.33498

2.57676

0.539

1.852

0.11

Use telehealth

1.7389

3.9064

-2.16749

4.28577

0.455

-7.206

0

Take preventive measure/ home treatment    

3.1182

9.4729

-6.35468

8.71906

0.299

-10.38

0

Overall Mean & Std. Devi

3253.64

1948.52

1305.18

2319.93

Table 3 Paired sample T-Test on the impact in healthcare sector before and during corona pandemic
Source: Software output

Discussion

In light of the analysis and findings, it is clear that the coronavirus pandemic has a relationship with healthcare. Consumers' medicine demands are increasing because of the corona pandemic, and people are more health-conscious. Consumer expenses are increasing to purchase medicine, and patients prefer home treatment to hospital visits. Consumer income is decreasing but the healthcare budget is increasing due to the corona pandemic. There has been no significant difference between consumers visiting hospitals before and during the corona pandemic. Due to the corona pandemic, patients are more likely to take telehealth and preventive measures/home treatment. So, COVID-19 impacted the healthcare sector in Bangladesh.

Literature review

Lockdown/ Isolation

Coronavirus recently revealed that it’s a disease that can be transferred from one person to another. The governments of different countries took steps like isolation, lockdown, and quarantine to minimize COVID-19's negative effects. People who maintain quarantine are facing mental stress and financial hardship. With the decline in interpersonal agreement and community functions, different psychological complications have emerged and perversities are being reported.9 The novel coronavirus 2019 pandemic has shifted health care, faced problems with supply limitation and fright of shipment. We announced the clinical habit model shifts in a head and neck surgery unit of a tertiary cancer epicenter and practiced the expression outskirts of a different form of care during the corona pandemic.10 The novel coronavirus is a bit challenging in the present situation around the globe. With no annotation and insufficient medical facilities to treat coronavirus-infected patients, non-pharmaceutical interventions (NPI) are the primary strategy for containing the COVID-19 pandemic. Infrequent world travel abridgments, as well as home quarantine command, are creating a greater acute breakdown of the world economy than since World War II.11 Because of the corona pandemic, lockdowns, isolations, and government rules and regulations have had a significant impact on consumer income and consumption.12 Due to the corona pandemic, consumers faced problems like mental stress, depression, and physical stress, and so on (H1, H2).13

Social distance

People's social distance, government rules and regulations, and consumer behavior are changing due to the corona pandemic. The article emphasized consumer safety and security.14 During the corona pandemic, people may suffer from mental stress from maintaining social distance, isolation, and home quarantine in the early and late stages of quarantine.15 Our social behaviors have been changed because of the ongoing corona pandemic situations. In corona pandemic time, media reports have shown vivid changes in constituent use, physical movement, diet, and sleep, which may create consequent downstream psychological health consequences (H3).16

Health concerns/ safety and security 

Signs of a corona pandemic might be light. The improvement of conceited strategies for health carefulness labors who have respiratory disease ought to be delivered. Healthcare workers should be taken care of and give treatment to corona-affected patients when they are tested. Vaccination facilities are available. Workforce safety is necessary for caring for patients. During the corona pandemic, doctors were giving telemedicine and suggestions for the corona-infected patients and also infected others.17 Cross-infection amongst patients decreased to the lowest point by properly embodied inpatient and outpatient units. Personal protection elements should be present when surgery is performed by doctors. Apropos the corona pandemic threats adequately, incredible shifts in the arrangement of outpatient and inpatient units, and handling accommodations are essential and also increase the demands for personal protection equipment significantly during the corona pandemic situation.18 People are concerned about coronavirus and that creates mental pressure and emotional exposure because of their fear of diseases and infections by coronavirus. Another study claimed that females are more stressed, frightened and anxious about the corona pandemic than males.19 Due to the coronavirus pandemic, humans faced a threat that turned into a pandemic. From previous expertise prevalence, we know that our clinical activities should be more elaborate than before the corona pandemic and also properly utilize our medical equipment.

Coronaviruses impact our physical and psychological behavior.20 During the corona pandemic, general people faced depression and anxiety in the early stages of the disease, and pregnant patients' mental stress increased, but they are trying to adjust to pandemic situations.21 There is significant inactivity for people's health to backpedal the corona pandemic. They have to give even-driving pharmaceutical care, learning people about infection prevention and providing drugs for patients.22 During a pandemic, whether it is striking in developing or developed countries, to meet the large demands of PPE, the authorities should increase the distribution and production in response.23 Due to the corona pandemic, consumer behaviors are changing like demographic factors and depression, anxiety, and sleep disorders. Due to the coronavirus pandemic, doctors, patients, and physicians faced a big problem as well, as they have been changed in medical activity (H4, H5).24 (Figure 1)

Figure 1 Conceptual framework.
Source: Author’s Development.

Limitations and future researchsion

There are a few limitations we have faced while preparing this research paper. The most significant limitations are: this research topic is new; the articles related to the scenario of the healthcare sector during the COVID-19 pandemic; and convenience sampling is used in this research paper, so biases may occur in our study. There are some guidelines given for future research so that they will overcome this study limitation. Future research will consider a large sample size and experimental design. Future research may consider collecting sample sizes from different platforms and cultures.

Conclusion and implications

The findings have shown that the Corona pandemic impacts the behavior of consumers, patients, doctors, nurses, and others who are directly related to the healthcare sector. Government rules and regulations, social distance, isolation, health concerns, and psychological stress impact the healthcare sector. Consumer income and purchasing capability were reduced for the jobless due to the corona pandemic. Patients are now preferring home treatment and preventive measures for healthcare. The hospital does not have sufficient ventilators, a coronavirus test kit, and personal protective equipment (PPE) for the treatment of coronavirus affected patients. During COVID-19, patients receive more home treatment and telehealth services than normal. Consumer expenditure is increasing for medication due to the corona pandemic. The study will help consumers, patients, doctors, nurses, hospital authorities, and retailers to understand how the coronavirus pandemic is impacting healthcare.

Recommendations

Due to the coronavirus pandemic, people have been attacked by the coronavirus. So, hospital authorities should provide better services and expand their capacity to treat COVID-19 patients with sufficient primary supplies. They should also ensure adequate ventilators, personal protective equipment (PPE), and test kits. Hospital authorities should not engage in any faulty activities with patients so that patients have no negative perception of them.

Acknowledgments

None.

Conflicts of interest

The authors declare that there is no conflict of interest.

References

  1. Pergolizzi Jr JV, Magnusson P, LeQuang JA, et al. The current clinically relevant findings on COVID-19 pandemic. Anesthesiology and Pain Medicine. 2020;10(2):e103819.
  2. Mishra L, Gupta T, Shree A. Online teaching-learning in higher education during lockdown period of COVID-19 pandemic. International Journal of Educational Research Open. 2020;1:100012.
  3. Opinc A, Łukasik Z, Makowska J. The attitude of Polish rheumatology patients towards telemedicine in the age of the COVID-19 pandemic. Reumatologia/Rheumatology Supplements. 2020;58(3):134–141.
  4. Koonin LM, Hoots B, Tsang CA, et al. Trends in the use of telehealth during the emergence of the COVID-19 pandemic­ - United States, January–March 2020. Morbidity and Mortality Weekly Report. 2020;69(43):1595–1599.
  5. Caplan GA, Coconis J, Board N, et al. Does home treatment affect delirium? A randomised controlled trial of rehabilitation of elderly and care at home or usual treatment (The REACH-OUT trial). Age and Ageing. 2006;35(1):53–60.
  6. Jahoda M, Deutsch M, Cook SW. Research methods in social relations with special reference to prejudice. Vol. 1, Basic processes. Vol. 2, Selected techniques; 1951.
  7. Wang P, Guan YF, Du H, et al. Induction of autophagy contributes to the neuroprotection of nicotinamide phosphoribosyltransferase in cerebral ischemia. Autophagy. 2012;8(1):77–87.
  8. Sekaran U, Bougie R. Research methods for business: A skill building approach. John Wiley & Sons; 2016.
  9. Kakunje A, Mithur R, Kishor M. Emotional well-being, mental health awareness, and prevention of suicide: Covid-19 pandemic and digital psychiatry. Archives of Medicine and Health Sciences. 2020;8(1):147–153.
  10. Kiong KL, Guo T, Yao CM, et al. Changing practice patterns in head and neck oncologic surgery in the early COVID‐19 era. Head & Neck. 2020;42(6):1179–1186.
  11. Gössling S, Scott D, Hall CM.Pandemics, tourism and global change: a rapid assessment of COVID-19. Journal of Sustainable Tourism. 2020;29(1):1–20.
  12. Nigar N, Miah MR. Shifts in Consumer Behavior Due to Corona Pandemic: A Case of Tourism and Hospitality Sector in Bangladesh. International Journal of Science and Business. 2020;4(12):123–135.
  13. Wang C, Pan R, Wan X, et al. A longitudinal study on the mental health of general population during the COVID-19 epidemic in China. Brain, Behavior, and Immunity. 2020;87:40–48.
  14. Fitzgerald DA, Maclean J, Rubin BK. COVID-19 pandemic: Impact on children, families and the future.
  15. Chen D, Song F, Tang L, et al. Quarantine experience of close contacts of COVID-19 patients in China: A qualitative descriptive study. General Hospital Psychiatry. 2020;66:81–88.
  16. Arora T, Grey I. Health behaviour changes during COVID-19 and the potential consequences: A mini-review. Journal of Health Psychology. 2020;25(9):1155–1163.
  17. Adams JG, Walls RM. Supporting the health care workforce during the COVID-19 global epidemic. JAMA. 2020;323(15):1439–1440.
  18. Zikmund-Fisher BJ, Couper MP, Singer E, et al. The DECISIONS study: a nationwide survey of United States adults regarding 9 common medical decisions. Medical Decision Making. 2010;30(5_suppl):20S–34S.
  19. Khan KS, Mamun MA, Griffiths MD, et al. The mental health impact of the COVID-19 pandemic across different cohorts. International Journal of Mental Health and Addiction. 2022;20(1):380–386.
  20. Naja F, Hamadeh R. Nutrition amid the COVID-19 pandemic: a multi-level framework for action. European Journal of Clinical Nutrition. 2020;74(8):1117–1121.
  21. Corbett GA, Milne SJ, Hehir MP, et al. Health anxiety and behavioural changes of pregnant women during the COVID-19 pandemic. European Journal of Obstetrics, Gynecology, and Reproductive Biology. 2020;249:96–97.
  22. Liu S, Luo P, Tang M, et al. Providing pharmacy services during the coronavirus pandemic. International Journal of Clinical Pharmacy. 2020;42(2):299–304.
  23. Bhattacharya S, Hossain MM, Singh A. Addressing the shortage of personal protective equipment during the COVID-19 pandemic in India-A public health perspective. AIMS Public Health. 2020;7(2):223–227.
  24. Fu W, Wang C, Zou L, et al. Psychological health, sleep quality, and coping styles to stress facing the COVID-19 in Wuhan, China. Translational Psychiatry. 2020;10(1):1–9.
Creative Commons Attribution License

©2022 Miah, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.